Loneesha Graham

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am an experienced AI Trainer and Data Science professional with a strong background in data annotation, labeling, and model evaluation for natural language processing and conversational AI systems. My work includes training and evaluating large language models, designing and testing prompts, and providing high-quality human feedback to improve model accuracy, safety, and alignment. I have contributed to AI development through platforms like Handshake AI and Neevo AI, where I performed large-scale annotation, response ranking, and quality assurance tasks. With a Master’s degree in Data Science and specialized training in large language models, I am skilled in RLHF workflows, dataset validation, and technical documentation. I am passionate about advancing AI reliability and performance by ensuring data quality and collaborating with global teams on innovative AI projects.

Labeling Experience

data annotator

Scale AIImageBounding BoxSegmentation

Worked on large-scale AI training projects involving image, text, and video datasets used for machine learning and computer vision models. Performed data labeling tasks including bounding boxes, image segmentation, object classification, and text categorization. Annotated thousands of data samples to support AI systems in areas such as object detection and natural language understanding. Followed strict annotation guidelines and quality control processes, maintaining high accuracy through review checks and benchmark tests. Contributed to human-in-the-loop AI training pipelines, helping improve dataset quality for model development.

Worked on large-scale AI training projects involving image, text, and video datasets used for machine learning and computer vision models. Performed data labeling tasks including bounding boxes, image segmentation, object classification, and text categorization. Annotated thousands of data samples to support AI systems in areas such as object detection and natural language understanding. Followed strict annotation guidelines and quality control processes, maintaining high accuracy through review checks and benchmark tests. Contributed to human-in-the-loop AI training pipelines, helping improve dataset quality for model development.

2021 - 2022

Education

Work History